We have been working with our clients to optimise their analytics environments and build platforms that are ready to tackle their analytics needs. Here are a few popular topics and questions that we have noticed are shared across our client base.
How can we take advantage of Fabric to use our live data?
Microsoft Fabric Real-Time Intelligence (RTI) is a powerful service designed to handle event-driven data processing and provide immediate insights from live data.
Key Features:
- Event-Driven Data Processing: Processes data as events occur for immediate availability.
- Real-Time Dashboards: Continuously updating dashboards with live data.
- Centralised Data Hub: Central catalogue for easy access and sharing of streaming data.
- Scalable Ingestion Engine: Handles millions of events per hour.
- Integration with AI and Analytics: Seamless integration for advanced analysis and real-time actions.
- Versatile Data Handling: Manages various data types, including IoT and system logs
Can Copilot improve our Fabric experience and assist our users?
Copilot and other generative AI features in preview bring new ways to transform and analyse data, generate insights, and create visualisations and reports in Microsoft Fabric and Power BI.
- Data Analysis and Visualisation: Quickly create insightful visualisations in Power BI using natural language queries. This is particularly useful for business users who need to make data-driven decisions swiftly.
- Automating Data Workflows: Automate repetitive tasks in Data Factory to improve efficiency and reduce the time required for complex data processing.
- Enhanced Data Exploration: Interact with enterprise data using natural language for easy analysis. This capability is beneficial for non-technical users, as it simplifies the process of generating insights and understanding data trends.
How can we monitor and optimise our Fabric capacity to ensure our resources match our needs?
Monitoring your Microsoft Fabric capacity effectively is crucial for optimising performance and ensuring efficient resource utilisation.
- Use the Fabric Capacity Metrics App: The Fabric Capacity Metrics app provides detailed insights into capacity usage, breaking down utilisation by item type (e.g., semantic model, notebook, pipeline). This helps identify high compute operations that may need optimisation.
- Evaluate and Optimise Capacity: Regularly evaluate your capacity to ensure it meets your needs without over-provisioning. Use trial capacities or pay-as-you-go SKUs to measure actual requirements before committing to a reserved instance.
